Extracting Differential Invariants of Motion Directly From Optical Flow
Extracting Differential Invariants of Motion Directly From Optical Flow
复制标题
直接从光流中提取运动的微分不变量
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
P. Kovesi
中科院分区：
文献类型：
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作者：
S. Fu;P. Kovesi
传统的运动恢复结构问题是通过建立点对应，然后应用经典的几何技术来解决的。但是，根据应用程序，可能需要部分场景重建。在这种情况下，计算图像运动的一阶微分不变量，即发散，卷曲和变形，可以直接提供有关场景结构的信息，同时避免复杂的投影几何。尽管发散、旋度和变形对于部分场景重建是有用的，但是从图像序列中提取这些量的工作却很少。本文提出了用一个倒计数器从光学视场中提取像移的微分不变量。这些滤波器的输出可用于恢复曲面法线和接触时间。
The structure-from-motion problem is traditionally addressedbyestablishingpointcorrespondencesandthenapplying classic geometry techniques. However, depending on theapplication,perhapsonlypartialscenereconstructionis necessary. In such cases, computing the flrst-order difierential invariants of image motion, namely divergence, curl, and deformation, can directly provide information about scene structure, while avoiding complex projective geometry. Even though divergence, curl, and deformation have been shown to be useful for partial scene reconstruction, little work has been done to extract these quantities from imagesequences. Inthispaperweproposeawaytoextract the difierential invariants of image motion from an optical ∞owfleldusingabankoffllters. Theoutputofthesefllters can later be used for the recovery of surface normals and time-to-contact.